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Cited by in F6Publishing
For: Qiu J, Peng B, Tang Y, Qian Y, Guo P, Li M, Luo J, Chen B, Tang H, Lu C, Cai M, Ke Z, He W, Zheng Y, Xie D, Li B, Yuan Y. CpG Methylation Signature Predicts Recurrence in Early-Stage Hepatocellular Carcinoma: Results From a Multicenter Study. J Clin Oncol. 2017;35:734-742. [PMID: 28068175 DOI: 10.1200/jco.2016.68.2153] [Cited by in Crossref: 72] [Cited by in F6Publishing: 48] [Article Influence: 14.4] [Reference Citation Analysis]
Number Citing Articles
1 Jiang J, Liu B, Liu R, Yang W. Overexpression of Taspase 1 Predicts Poor Prognosis in Patients with Hepatocellular Carcinoma. Cancer Manag Res 2021;13:2517-37. [PMID: 33758547 DOI: 10.2147/CMAR.S296069] [Reference Citation Analysis]
2 Yang K, Xiao Y, Xu T, Yu W, Ruan Y, Luo P, Cheng F. Integrative analysis reveals CRHBP inhibits renal cell carcinoma progression by regulating inflammation and apoptosis. Cancer Gene Ther 2020;27:607-18. [PMID: 31570754 DOI: 10.1038/s41417-019-0138-2] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 0.7] [Reference Citation Analysis]
3 Wu C, Lin J, Weng Y, Zeng DN, Xu J, Luo S, Xu L, Liu M, Hua Q, Liu CQ, Li JQ, Liao J, Sun C, Zhou J, Chen MS, Liu C, Guo Z, Zhuang SM, Huang JH, Zheng L. Myeloid signature reveals immune contexture and predicts the prognosis of hepatocellular carcinoma. J Clin Invest 2020;130:4679-93. [PMID: 32497024 DOI: 10.1172/JCI135048] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 8.0] [Reference Citation Analysis]
4 Lai J, Chen B, Mok H, Zhang G, Ren C, Liao N. Comprehensive analysis of autophagy-related prognostic genes in breast cancer. J Cell Mol Med 2020;24:9145-53. [PMID: 32618109 DOI: 10.1111/jcmm.15551] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
5 Bai Y, Lian Y, Wu J, Chen S, Lai J, Zheng Y, Tian Y, Yan M, Wang Y. A Prognostic Scoring System for Predicting Overall Survival of Patients with the TNM 8th Edition Stage I and II Hepatocellular Carcinoma After Surgery: A Population-Based Study. Cancer Manag Res 2021;13:2131-42. [PMID: 33688256 DOI: 10.2147/CMAR.S289826] [Reference Citation Analysis]
6 Yan Y, Lu Y, Mao K, Zhang M, Liu H, Zhou Q, Lin J, Zhang J, Wang J, Xiao Z. Identification and validation of a prognostic four-genes signature for hepatocellular carcinoma: integrated ceRNA network analysis. Hepatol Int 2019;13:618-30. [PMID: 31321712 DOI: 10.1007/s12072-019-09962-3] [Cited by in Crossref: 19] [Cited by in F6Publishing: 18] [Article Influence: 6.3] [Reference Citation Analysis]
7 Wang C, Liao Y, He W, Zhang H, Zuo D, Liu W, Yang Z, Qiu J, Yuan Y, Li K, Zhang Y, Wang Y, Shi Y, Qiu Y, Gao S, Yuan Y, Li B. Elafin promotes tumour metastasis and attenuates the anti-metastatic effects of erlotinib via binding to EGFR in hepatocellular carcinoma. J Exp Clin Cancer Res 2021;40:113. [PMID: 33771199 DOI: 10.1186/s13046-021-01904-y] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Liu K, Jiao Y, Shen L, Chen P, Zhao Y, Li M, Gu B, Lan Z, Ruan H, Liu Q, Xu F, Yuan X, Qi Y, Gao S. A Prognostic Model Based on mRNA Expression Analysis of Esophageal Squamous Cell Carcinoma. Front Bioeng Biotechnol 2022;10:823619. [DOI: 10.3389/fbioe.2022.823619] [Reference Citation Analysis]
9 Li R, Shui L, Jia J, Wu C. Construction and Validation of Novel Diagnostic and Prognostic DNA Methylation Signatures for Hepatocellular Carcinoma. Front Genet 2020;11:906. [PMID: 32922438 DOI: 10.3389/fgene.2020.00906] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Jiang W, Li M, Tan J, Feng M, Zheng J, Chen D, Liu Z, Yan B, Wang G, Xu S, Xiao W, Gao Y, Zhuo S, Yan J. A Nomogram Based on a Collagen Feature Support Vector Machine for Predicting the Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients. Ann Surg Oncol 2021. [PMID: 34148136 DOI: 10.1245/s10434-021-10218-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Xu F, Zhang L, Xu Y, Song D, He W, Ji X, Shao J. Hypermethylation of SCAND3 and Myo1g Gene Are Potential Diagnostic Biomarkers for Hepatocellular Carcinoma. Cancers (Basel) 2020;12:E2332. [PMID: 32824823 DOI: 10.3390/cancers12082332] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
12 Shi D, Tan Q, Ruan J, Tian Z, Wang X, Liu J, Liu X, Liu Z, Zhang Y, Sun C, Niu Y. Aging-related markers in rat urine revealed by dynamic metabolic profiling using machine learning. Aging (Albany NY) 2021;13:14322-41. [PMID: 34016789 DOI: 10.18632/aging.203046] [Reference Citation Analysis]
13 Ji GW, Fan Y, Sun DW, Wu MY, Wang K, Li XC, Wang XH. Machine Learning to Improve Prognosis Prediction of Early Hepatocellular Carcinoma After Surgical Resection. J Hepatocell Carcinoma 2021;8:913-23. [PMID: 34414136 DOI: 10.2147/JHC.S320172] [Reference Citation Analysis]
14 Abdel-Megeed RM, Hamed AR, Matloub AA, Kadry MO, Abdel-Hamid AZ. Regulation of apoptotic and inflammatory signaling pathways in hepatocellular carcinoma via Caesalpinia gilliesii galactomannan. Mol Cell Biochem 2019;451:173-84. [PMID: 30030776 DOI: 10.1007/s11010-018-3404-y] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 1.8] [Reference Citation Analysis]
15 Di Z, Di M, Fu W, Tang Q, Liu Y, Lei P, Gu X, Liu T, Sun M. Integrated Analysis Identifies a Nine-microRNA Signature Biomarker for Diagnosis and Prognosis in Colorectal Cancer. Front Genet 2020;11:192. [PMID: 32265979 DOI: 10.3389/fgene.2020.00192] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 8.5] [Reference Citation Analysis]
16 Dong RZ, Yang X, Zhang XY, Gao PT, Ke AW, Sun HC, Zhou J, Fan J, Cai JB, Shi GM. Predicting overall survival of patients with hepatocellular carcinoma using a three-category method based on DNA methylation and machine learning. J Cell Mol Med. 2019;23:3369-3374. [PMID: 30784182 DOI: 10.1111/jcmm.14231] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 4.3] [Reference Citation Analysis]
17 Shi M, Wang Y, Tang W, Cui X, Wu H, Tang Y, Wang P, Wu W, Zhang H. Identification of TP53 mutation associated-immunotype and prediction of survival in patients with hepatocellular carcinoma. Ann Transl Med 2020;8:321. [PMID: 32355765 DOI: 10.21037/atm.2020.02.98] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
18 Chen J, Wang X, Wang X, Li W, Shang C, Chen T, Chen Y. A FITM1-Related Methylation Signature Predicts the Prognosis of Patients With Non-Viral Hepatocellular Carcinoma. Front Genet 2020;11:99. [PMID: 32174969 DOI: 10.3389/fgene.2020.00099] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
19 Zhang Y, Tang Y, Guo C, Li G. Integrative analysis identifies key mRNA biomarkers for diagnosis, prognosis, and therapeutic targets of HCV-associated hepatocellular carcinoma. Aging (Albany NY) 2021;13:12865-95. [PMID: 33946043 DOI: 10.18632/aging.202957] [Reference Citation Analysis]
20 Wu F, Zhang FY, Tan GQ, Chen WJ, Huang B, Yan L, Zhang HL, Chen S, Jiao Y, Wang BL. Down-regulation of EGFL8 regulates migration, invasion and apoptosis of hepatocellular carcinoma through activating Notch signaling pathway. BMC Cancer 2021;21:704. [PMID: 34130659 DOI: 10.1186/s12885-021-08327-0] [Reference Citation Analysis]
21 Chen G, Fan X, Li Y, He L, Wang S, Dai Y, Bin C, Zhou D, Lin H. Promoter aberrant methylation status of ADRA1A is associated with hepatocellular carcinoma. Epigenetics 2020;15:684-701. [PMID: 31933413 DOI: 10.1080/15592294.2019.1709267] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Yang Z, Zhu H, Zhang L, Wei Q, Zhou L, Xu X, Song P, Liu J, Xie H, Zheng S. DNA methylation of SOCS1/2/3 predicts hepatocellular carcinoma recurrence after liver transplantation. Mol Biol Rep 2020;47:1773-82. [PMID: 32006198 DOI: 10.1007/s11033-020-05271-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
23 Li Y, Ge D, Lu C. The SMART App: an interactive web application for comprehensive DNA methylation analysis and visualization. Epigenetics Chromatin 2019;12:71. [PMID: 31805986 DOI: 10.1186/s13072-019-0316-3] [Cited by in Crossref: 26] [Cited by in F6Publishing: 24] [Article Influence: 8.7] [Reference Citation Analysis]
24 Wang Y, Tan H, Yu T, Ma X, Chen X, Jing F, Zou L, Shi H. The identification of gene signatures in patients with extranodal NK/T-cell lymphoma from a pair of twins. BMC Cancer 2021;21:1303. [PMID: 34872521 DOI: 10.1186/s12885-021-09023-9] [Reference Citation Analysis]
25 Liu T, Fang P, Han C, Ma Z, Xu W, Xia W, Hu J, Xu Y, Xu L, Yin R, Wang S, Zhang Q. Four transcription profile-based models identify novel prognostic signatures in oesophageal cancer. J Cell Mol Med 2020;24:711-21. [PMID: 31746108 DOI: 10.1111/jcmm.14779] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
26 Kakisaka T, Fukai M, Banwait JK, Kamiyama T, Orimo T, Mitsuhashi T, Yamamura K, Toshima T, Baba H, Taketomi A, Goel A. Genomewide transcriptomic profiling identifies a gene signature for predicting recurrence in early-stage hepatocellular carcinoma. Clin Transl Med 2021;11:e405. [PMID: 34185415 DOI: 10.1002/ctm2.405] [Reference Citation Analysis]
27 Li Y, Ge D, Gu J, Xu F, Zhu Q, Lu C. A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies. BMC Cancer 2019;19:886. [PMID: 31488089 DOI: 10.1186/s12885-019-6101-7] [Cited by in Crossref: 19] [Cited by in F6Publishing: 19] [Article Influence: 6.3] [Reference Citation Analysis]
28 Yi PS, Hu CJ, Li CH, Yu F. Clinical value of artificial intelligence in hepatocellular carcinoma: Current status and prospect. Artif Intell Gastroenterol 2021; 2(2): 42-55 [DOI: 10.35712/aig.v2.i2.42] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Xiao W, Liu C, Zhong K, Ning S, Hou R, Deng N, Xu Y, Luo Z, Fu Y, Zeng Y, Xiao B, Long H, Long L. CpG methylation signature defines human temporal lobe epilepsy and predicts drug-resistant. CNS Neurosci Ther 2020. [PMID: 32519815 DOI: 10.1111/cns.13394] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
30 Zhang D, Duan Y, Wang Z, Lin J. Systematic profiling of a novel prognostic alternative splicing signature in hepatocellular carcinoma. Oncol Rep 2019;42:2450-72. [PMID: 31578577 DOI: 10.3892/or.2019.7342] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
31 Xie H, Yu H, Tian S, Yang X, Wang X, Wang H, Guo Z. MEIS-1 level in unresectable hepatocellular carcinoma can predict the post-treatment outcomes of radiofrequency ablation. Oncotarget 2018;9:15252-65. [PMID: 29632641 DOI: 10.18632/oncotarget.24165] [Cited by in Crossref: 6] [Cited by in F6Publishing: 9] [Article Influence: 1.5] [Reference Citation Analysis]
32 Liu WR, Tian MX, Tang Z, Fang Y, Zhou YF, Song SS, Jiang XF, Wang H, Tao CY, Zhou PY, Qu WF, Ding ZB, Peng YF, Zhou J, Fan J, Shi YH. Nine-factor-based immunohistochemistry classifier predicts recurrence for early-stage hepatocellular carcinoma after curative resection. Br J Cancer 2020;123:92-100. [PMID: 32376890 DOI: 10.1038/s41416-020-0864-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
33 Kim SY, Song HK, Lee SK, Kim SG, Woo HG, Yang J, Noh HJ, Kim YS, Moon A. Sex-Biased Molecular Signature for Overall Survival of Liver Cancer Patients. Biomol Ther (Seoul) 2020;28:491-502. [PMID: 33077700 DOI: 10.4062/biomolther.2020.157] [Reference Citation Analysis]
34 Wang J, Wu D, Sun M, Peng Z, Lin Y, Lin H, Chen J, Long T, Li Z, Xie C, Huang B, Feng S. Deep Segmentation Feature-Based Radiomics Improves Recurrence Prediction of Hepatocellular Carcinoma. BME Frontiers 2022;2022:1-12. [DOI: 10.34133/2022/9793716] [Reference Citation Analysis]
35 Zhang Y, Hui F, Yang Y, Chu H, Qin X, Zhao M, Zhao Q. Can Kushen injection combined with TACE improve therapeutic efficacy and safety in patients with advanced HCC? a systematic review and network meta-analysis. Oncotarget 2017;8:107258-72. [PMID: 29291026 DOI: 10.18632/oncotarget.20921] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
36 Wu MY, Qiao Q, Wang K, Ji GW, Cai B, Li XC. Development and Validation of Pre- and Post-Operative Models to Predict Recurrence After Resection of Solitary Hepatocellular Carcinoma: A Multi-Institutional Study. Cancer Manag Res 2020;12:3503-12. [PMID: 32523380 DOI: 10.2147/CMAR.S251413] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
37 Cui J, Wang L, Zhong W, Chen Z, Chen J, Yang H, Liu G. Identification and validation of methylation-driven genes prognostic signature for recurrence of laryngeal squamous cell carcinoma by integrated bioinformatics analysis. Cancer Cell Int 2020;20:472. [PMID: 33005105 DOI: 10.1186/s12935-020-01567-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
38 Wang Y, Chen L, Ju L, Qian K, Wang X, Xiao Y, Wang G. Epigenetic signature predicts overall survival clear cell renal cell carcinoma. Cancer Cell Int 2020;20:564. [PMID: 33292239 DOI: 10.1186/s12935-020-01640-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
39 Jiang C, Jiang W; Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China, Department of Cardiology, Nantong Traditional Chinese Medicine Hospital, Nantong 226001, China. AGTR1, PLTP, and SCG2 associated with immune genes and immune cell infiltration in calcific aortic valve stenosis: analysis from integrated bioinformatics and machine learning]]>. MBE 2022;19:3787-802. [DOI: 10.3934/mbe.2022174] [Reference Citation Analysis]
40 Tian MX, Liu WR, Wang H, Zhou YF, Jin L, Jiang XF, Tao CY, Tang Z, Zhou PY, Fang Y, Qu WF, Ding ZB, Peng YF, Dai Z, Qiu SJ, Zhou J, Lau WY, Fan J, Shi YH. Tissue-infiltrating lymphocytes signature predicts survival in patients with early/intermediate stage hepatocellular carcinoma. BMC Med 2019;17:106. [PMID: 31164128 DOI: 10.1186/s12916-019-1341-6] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 4.7] [Reference Citation Analysis]
41 Bai Y, Lian Y, Chen X, Wu J, Lai J, Qiu F, Zhou S, Zhu Z, Tian Y, Wang Y, Yang Y, Yan M. Immunohistochemical Signature Add Prognostic Value in Patients With Early and Intermediate Hepatocellular Carcinoma Underwent Curative Liver Resection. Front Oncol 2020;10:616263. [PMID: 33585243 DOI: 10.3389/fonc.2020.616263] [Reference Citation Analysis]
42 Wolinska E, Skrzypczak M. Epigenetic Changes Affecting the Development of Hepatocellular Carcinoma. Cancers (Basel) 2021;13:4237. [PMID: 34439391 DOI: 10.3390/cancers13164237] [Reference Citation Analysis]
43 Zhang Y, Li D, Feng F, An L, Hui F, Dang D, Zhao Q. Progressive and Prognosis Value of Notch Receptors and Ligands in Hepatocellular Carcinoma: A Systematic Review and Meta-analysis. Sci Rep 2017;7:14809. [PMID: 29093570 DOI: 10.1038/s41598-017-14897-6] [Cited by in Crossref: 13] [Cited by in F6Publishing: 16] [Article Influence: 2.6] [Reference Citation Analysis]
44 Liu W, Zheng Y, Zou R, Shen J, He W, Yang Z, Zhang Y, Li B, Yuan Y. Impact of follow-up interval on patients with hepatocellular carcinoma after curative ablation. BMC Cancer 2018;18:1186. [PMID: 30497418 DOI: 10.1186/s12885-018-5069-z] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
45 Lin WP, Xing KL, Fu JC, Ling YH, Li SH, Yu WS, Zhang YF, Zhong C, Wang JH, Chen ZY, Lu LH, Wei W, Guo RP. Development and Validation of a Model Including Distinct Vascular Patterns to Estimate Survival in Hepatocellular Carcinoma. JAMA Netw Open 2021;4:e2125055. [PMID: 34515782 DOI: 10.1001/jamanetworkopen.2021.25055] [Reference Citation Analysis]
46 Lei Y, Li YQ, Jiang W, Hong XH, Ge WX, Zhang Y, Hu WH, Wang YQ, Liang YL, Li JY, Cho WCS, Yun JP, Zeng J, Chen JW, Liu LZ, Li L, Chen L, Xie FY, Li WF, Mao YP, Liu X, Chen YP, Tang LL, Sun Y, Liu N, Ma J. A Gene-Expression Predictor for Efficacy of Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma. J Natl Cancer Inst 2021;113:471-80. [PMID: 33094348 DOI: 10.1093/jnci/djaa100] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
47 Zhang Y, Qiu J, Zuo D, Yuan Y, Qiu Y, Qiao L, He W, Li B, Yuan Y. SNRPC promotes hepatocellular carcinoma cell motility by inducing epithelial-mesenchymal transition. FEBS Open Bio 2021;11:1757-70. [PMID: 33934562 DOI: 10.1002/2211-5463.13175] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
48 He W, Zheng Y, Zou R, Shen J, Yang J, Qiu J, Tao Q, Liu W, Yang Z, Zhang Y, Li B, Yuan Y. Long- versus short-interval follow-up after resection of hepatocellular carcinoma: a retrospective cohort study. Cancer Commun (Lond) 2018;38:26. [PMID: 29784036 DOI: 10.1186/s40880-018-0296-x] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
49 Frizziero M, Mcnamara MG, Lamarca A, Pihlak R, Kurup R, Hubner RA. Current Translational and Clinical Challenges in Advanced Hepatocellular Carcinoma. CMC 2020;27:4789-805. [DOI: 10.2174/0929867327666200422143847] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
50 Zhou BY, Gong JH, Cai XY, Wang JX, Luo F, Jiang N, Gong JP, Du CY, Liao R. An imbalance between stellate cells and γδT cells contributes to hepatocellular carcinoma aggressiveness and recurrence. Hepatol Int 2019;13:631-40. [PMID: 31342250 DOI: 10.1007/s12072-019-09969-w] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 2.7] [Reference Citation Analysis]
51 Ji GW, Zhu FP, Xu Q, Wang K, Wu MY, Tang WW, Li XC, Wang XH. Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study. EBioMedicine 2019;50:156-65. [PMID: 31735556 DOI: 10.1016/j.ebiom.2019.10.057] [Cited by in Crossref: 20] [Cited by in F6Publishing: 23] [Article Influence: 6.7] [Reference Citation Analysis]
52 Wu X, Qin K, Iroegbu CD, Xiang K, Peng J, Guo J, Yang J, Fan C. Genetic analysis of potential biomarkers and therapeutic targets in ferroptosis from coronary artery disease. J Cell Mol Med 2022. [PMID: 35152560 DOI: 10.1111/jcmm.17239] [Reference Citation Analysis]
53 Tian XP, Wang CY, Jin XH, Li M, Wang FW, Huang WJ, Yun JP, Xu RH, Cai QQ, Xie D. Acidic Microenvironment Up-Regulates Exosomal miR-21 and miR-10b in Early-Stage Hepatocellular Carcinoma to Promote Cancer Cell Proliferation and Metastasis. Theranostics. 2019;9:1965-1979. [PMID: 31037150 DOI: 10.7150/thno.30958] [Cited by in Crossref: 50] [Cited by in F6Publishing: 57] [Article Influence: 16.7] [Reference Citation Analysis]
54 Xu Q, Hu Y, Chen S, Zhu Y, Li S, Shen F, Guo Y, Sun T, Chen X, Jiang J, Huang W. Immunological Significance of Prognostic DNA Methylation Sites in Hepatocellular Carcinoma. Front Mol Biosci 2021;8:683240. [PMID: 34124163 DOI: 10.3389/fmolb.2021.683240] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
55 Hao XY, Li AQ, Shi H, Guo TK, Shen YF, Deng Y, Wang LT, Wang T, Cai H. A novel DNA methylation-based model that effectively predicts prognosis in hepatocellular carcinoma. Biosci Rep 2021;41:BSR20203945. [PMID: 33634306 DOI: 10.1042/BSR20203945] [Reference Citation Analysis]